Data Analytics Foundations for Accountancy I

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Course Features

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Duration

67 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

67 hours

Course Description

Welcome to Data Analytics Foundations for Accounting I! Join thousands of other learners enrolled in this course. I am excited to have your participation in the class, and look forward to seeing what you contribute to the learning community.

It's worth taking some time to look around the course website before you start. You can review the weekly material and see the assignments that you will need to complete in order to pass the course. To view discussion forums, click Discussions. This will allow you to discuss course material with other students. To get assistance from other students in the course community, post questions in the forums. The Learner Help Center can help you with technical issues related to Coursera. Good luck and have fun with the course.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

You will learn about the capabilities of the course Jupyter server, and how to create, edit, and run notebooks on the course server

You will learn how to write Markdown formatted documents

You will learn about basic data structures commonly used in Python programs

You will learn about the Unix file system

You will learn about descriptive statistics, which can be used to characterize a data set by using a few specific measurements

Course Instructors

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Robert Brunner

Professor

Robert J. Brunner is a professor in the School of Information Sciences and in the Department of Accountancy in the College of Business. He has affiliate appointments in the Astronomy, Computer Scienc...

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